k-Nearest Neighbors makes sense on an intuitive level. Decision trees are a supervised learning model that can be used for either regression or classification tasks. In Module 2, we learned about the ...

Decision trees are at their heart a fairly simple type of classifier, and this is one of their advantages. Decision trees are constructed by analyzing a set of training examples for which the ...

This module will focus on the ensemble methods decision trees, bagging, and random forests, which combine multiple models to improve prediction accuracy and reduce overfitting. Decision Trees are a ...